PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-04 10:22:09.634657+00:00 (UTC)
In US/Central Time, this is 2024-06-04 05:22:09.634657-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/6301f82778c159c04e0013b5391154d01bec54d46dcd5bf894a25b8268afcde3.png
We are just generating a random time serie here.
../_images/024f063ac0139ab7fcb03279a9ffece8c11118a2ef54ba713c9589e9354d7525.png
../_images/37b8240b5d2b264896728f4e39d208c412ac67084dfbd9a20553434f251b3918.png